Abstract: A system, apparatus and method for monitoring faults in an electric machine is provided. The method includes obtaining a reference measurement from at least one sensing unit associated with the electric machine. Further, a characteristic signature is generated based on the reference measurement using a digital twin of the electric machine. The digital twin is a virtual representation indicating a state of the electric machine in real-time. The characteristic signature is further analyzed to identify a fault associated with the electric machine. Further, a notification indicating a visual representation of the fault is outputted on an output device.

Abstract: A system and method for estimating remaining useful life of a bearing is provided. The method includes receiving, by a processing unit, operational data associated with the bearing from at least one source in real-time. Further, one or more failure modes associated with the bearing are determined based on one or more features associated with the operational data. Based on the one or more features, a best-suited virtual model corresponding to the bearing is identified from a plurality of virtual models. Each of the virtual models indicates a behavior of the bearing for a predefined set of conditions. Further, a remaining useful life of the bearing is computed based on the best-suited virtual model.

Abstract: The present disclosure relates to a system, an apparatus, and a method for managing health condition of at least one rotating system. The method includes receiving, by a processing unit, operational data associated with the rotating system in real-time, from one or more sensing units. The operational data includes parameter values corresponding to an operation of the rotating system. Further, a virtual replica of the rotating system is configured using the operational data. A behavior of the rotating system is simulated on a simulation instance of the rotating system based on the configured virtual replica. The simulation results are analyzed to determine an abnormality in the health condition of the rotating system. The abnormality corresponds to a health status of an internal component of the rotating system. Further, a notification indicating the abnormality is generated, on a Graphical User Interface.

Abstract: A system, apparatus, and method for estimating remaining useful life of a bearing are provided. The method includes receiving a request for analyzing a defect in the bearing from a source. The request includes operational data associated with the bearing. An impact of the defect on the bearing is monitored over a period of time. A time period during which the impact of the defect on the bearing is higher than a threshold range is determined using a machine learning model. A severity of the impact associated with the defect is computed during the time period. A remaining useful life of the bearing is determined based on the severity and the operational data during the time period.

Abstract: A system, apparatus and method for estimating remaining useful life of at least one bearing is provided. The method includes receiving request for analyzing defect in bearing from source, determining vibration spectrum of bearing from the received operational data, monitoring an impact of defect on one bearing over a period of time based on the determined vibration spectrum, determining characteristic values from the vibration spectrum for which the impact of the defect on the bearing is above a threshold range, determining impact force during an operation of the at least one bearing based on the determined characteristic values and one or more parameters obtained from a virtual bearing model, determining remaining useful life of the bearing based on the determined impact force during the time period and generating a notification indicating the remaining useful life of the bearing on output device.

Abstract: Systems, devices, and methods of condition-based management of electro-mechanical systems are disclosed. The method includes generating a stress profile for the electro-mechanical system based on operating or simulating operation of the electro-mechanical system in accordance with a load profile, wherein the load profile indicative of operation duration and load capacity of the electro-mechanical system. The method further includes receiving condition data associated with the electro-mechanical system in operation from a plurality of sensing units and predicting a failure instance of the electro-mechanical system using an accelerated degradation model based on at least one of the stress profile and the condition data. The accelerated degradation model is generated when the electro-mechanical system is operated above a rated stress.

Abstract: A system, apparatus and method for instantaneous performance management of a machine tool is provided. The method receiving real-time condition data associated with one or more components of the machine tool from one or more sources. Further, at least one parameter value associated with the one or more critical components, which is likely to affect a performance of the machine tool, is computed based on the condition data. Further, a digital twin of the machine tool is configured based on the parameter value to simulate a behavior of the one or more critical components in a simulation environment. Further, an impact on the performance of the machine tool is predicted based on the simulated behavior of the one or more critical components. Further, an operation of the machine tool is optimized based on the predicted impact.

Abstract: A system, apparatus and method for managing an electromechanical system is provided. In an embodiment, the method includes receiving, by a processing unit, operational data associated with the electromechanical system from one or more sensing units in real-time. Furthermore, the method includes detecting an event associated with a power supplied to the electromechanical system based on the operational data. Also, the method includes configuring a virtual replica of the electromechanical system using the operational data, based on the event detected. Additionally, the method further includes generating one or more simulation results by simulating the configured virtual replica in a simulation environment. Moreover, the method includes predicting an effect on the electromechanical system due to the event based on the simulation results.

Abstract: A system, apparatus and method of determining remaining life of a bearing is disclosed. The method includes generating a bearing model of the bearing. The bearing model is based on one of condition data associated with operation of the bearing, historical condition data of the bearing, bearing specification and technical specification of a technical system including the bearing. The method further includes predicting a defect in the bearing based on the bearing model and predicting the remaining life of the bearing based on the predicted defect.

Abstract: A system, apparatus and method for determining operational configuration of asset are provided. The method includes receiving a set of operating parameters associated with the asset, identifying data associated with the asset based on the received set of operating parameters, configuring a second digital twin of the asset based on the data identified from first knowledge database, simulating a behavior of the asset based on the configured second digital twin in a simulation environment, and determining an operational configuration associated with the variant of the asset based on results of the simulation.

Abstract: Systems, methods, and control units for diagnosis and life prediction of one or more electro-mechanical system are provided. One method includes receiving sensor data from a plurality of sensors associated with operation of the electro-mechanical system. The method includes determining at least one system response associated with at least one failure mode of the electro-mechanical system from the sensor data, wherein the sensor data is indicative of the at least one failure mode of the electro-mechanical system. The method further includes receiving at least one simulated response associated with the at least one failure mode of the electro-mechanical system, wherein the at least one failure mode is simulated on a system model of the electro-mechanical system.

Abstract: Systems, devices, and methods of condition-based management of electro-mechanical systems are disclosed. The method includes generating a stress profile for the electro-mechanical system based on operating or simulating operation of the electro-mechanical system in accordance with a load profile, wherein the load profile indicative of operation duration and load capacity of the electro-mechanical system. The method further includes receiving condition data associated with the electro-mechanical system in operation from a plurality of sensing units and predicting a failure instance of the electro-mechanical system using an accelerated degradation model based on at least one of the stress profile and the condition data. The accelerated degradation model is generated when the electro-mechanical system is operated above a rated stress.

Abstract: System, apparatus and method of determining condition of at least one bearing (810) in a system is disclosed. The method includes receiving operation data associated with the system from one or more sensing units associated with the system; determining an operation profile of the at least one bearing (810) from the operation data, wherein the operation profile includes at least one of a vibration response, a thermal response and a frequency response associated with the at least one bearing (810); determining an impact force profile during operation of the at least one bearing (810) based on the operation profile and a virtual bearing model (400, 600) trained on operation profiles and impact force profiles associated with a group of bearings comparable with the at least one bearing (810); and determining the condition of the at least one bearing (810) based on the impact force profile.

Abstract: The present disclosure relates to a system, an apparatus, and a method for managing health condition of at least one rotating system. The method includes receiving, by a processing unit, operational data associated with the rotating system in real-time, from one or more sensing units. The operational data includes parameter values corresponding to an operation of the rotating system. Further, a virtual replica of the rotating system is configured using the operational data. A behavior of the rotating system is simulated on a simulation instance of the rotating system based on the configured virtual replica. The simulation results are analyzed to determine an abnormality in the health condition of the rotating system. The abnormality corresponds to a health status of an internal component of the rotating system. Further, a notification indicating the abnormality is generated, on a Graphical User Interface.

Abstract: A system, apparatus, and method for estimating remaining useful life of a bearing are provided. The method includes receiving a request for analyzing a defect in the bearing from a source. The request includes operational data associated with the bearing. An impact of the defect on the bearing is monitored over a period of time. A time period during which the impact of the defect on the bearing is higher than a threshold range is determined using a machine learning model. A severity of the impact associated with the defect is computed during the time period. A remaining useful life of the bearing is determined based on the severity and the operational data during the time period.

Abstract: Systems, methods, and control units for diagnosis and life prediction of one or more electro-mechanical system are provided. One method includes receiving sensor data from a plurality of sensors associated with operation of the electro-mechanical system. The method includes determining at least one system response associated with at least one failure mode of the electro-mechanical system from the sensor data, wherein the sensor data is indicative of the at least one failure mode of the electro-mechanical system. The method further includes receiving at least one simulated response associated with the at least one failure mode of the electro-mechanical system, wherein the at least one failure mode is simulated on a system model of the electro-mechanical system.

Abstract: An apparatus and a method for processing slurry are provided. The apparatus includes a support frame including a vertical member and a horizontal member. The apparatus also includes a mounting unit mounted on the vertical member, a mixing chamber disposed on the horizontal member, a controller mounted on the mounting unit, and a stirrer attached to the controller. The mounting unit is operable to position the stirrer with respect to the mixing chamber such that the stirrer is in contact with a slurry in the mixing chamber during the mixing operation.

Abstract: An apparatus and a method for processing slurry are provided. The apparatus includes a support frame including a vertical member and a horizontal member. The apparatus also includes a mounting unit mounted on the vertical member, a mixing chamber disposed on the horizontal member, a controller mounted on the mounting unit, and a stirrer attached to the controller. The mounting unit is operable to position the stirrer with respect to the mixing chamber such that the stirrer is in contact with a slurry in the mixing chamber during the mixing operation.

Abstract: A packing apparatus for packing a substance in a container includes a filling unit configured to facilitate filling of the substance in the container and a compacting unit configured to compactly pack the filled substance in the container. The filling unit includes a moveable filling member moveable from at least a first filling position to a second filling position. The compacting unit includes a moveable compacting member moveable from at least a first compacting position to a second compacting position. At least one of the first compacting position and the second compacting position of the moveable compacting member is in relation to at least one of the first filling position and the second filling position of the moveable filling member. The moveable compacting member is moveable with a preconfigured compaction force that is a function of one or more properties of the container.